3D Modeling for Detecting Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin

Not yet recruitingOBSERVATIONAL
Enrollment

1,500

Participants

Timeline

Start Date

October 1, 2025

Primary Completion Date

June 30, 2026

Study Completion Date

July 31, 2026

Conditions
General SurgeryOncologyMedical Informatics
Interventions
DIAGNOSTIC_TEST

AI-Assisted 3D Imaging Model for Tumor and CRM Assessmen

This study uses an AI-assisted 3D imaging model to analyze existing CT and MRI images of stage II-III locally advanced rectal cancer patients. The system reconstructs tumor boundaries and spatial relationships, predicts circumferential resection margin (CRM) status, and supports staging assessment. No interventions are performed on participants, and all data are collected retrospectively from routine clinical care.

Trial Locations (1)

Unknown

Taichung Veterans General Hospital, Taichung

All Listed Sponsors
collaborator

National Health Research Institutes, Taiwan

OTHER

lead

Taichung Veterans General Hospital

OTHER

NCT07183124 - 3D Modeling for Detecting Locally Advanced Rectal Cancer With Positive Circumferential Resection Margin | Biotech Hunter | Biotech Hunter